Title |
A metabolomics approach using LC TOF-MS to evaluate oxidation levels of edible oils
|
---|---|
Published in |
Food Analytical Methods, May 2019
|
DOI | 10.1007/s12161-019-01525-4 |
Authors |
Katsuhito Hori, Fook Hee Koh, Kazunobu Tsumura |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 25 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 3 | 12% |
Student > Ph. D. Student | 2 | 8% |
Student > Doctoral Student | 1 | 4% |
Unspecified | 1 | 4% |
Other | 1 | 4% |
Other | 1 | 4% |
Unknown | 16 | 64% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 4 | 16% |
Biochemistry, Genetics and Molecular Biology | 2 | 8% |
Engineering | 2 | 8% |
Agricultural and Biological Sciences | 1 | 4% |
Unspecified | 1 | 4% |
Other | 0 | 0% |
Unknown | 15 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 May 2019.
All research outputs
#18,681,024
of 23,146,350 outputs
Outputs from Food Analytical Methods
#242
of 583 outputs
Outputs of similar age
#263,519
of 351,309 outputs
Outputs of similar age from Food Analytical Methods
#8
of 21 outputs
Altmetric has tracked 23,146,350 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 583 research outputs from this source. They receive a mean Attention Score of 2.0. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 351,309 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.